Nava Tintarev
- Information Systems top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Science Applications top 10%
- Co-authors
- Tim DrawsKatrien VerbertYucheng JinOana InelJudith MasthoffUjwal GadirajuMesut KayaDerek Bridge
- Topics
- Recommender Systems and Techniques (17 papers)Topic Modeling (10 papers)Misinformation and Its Impacts (8 papers)
- Journals
- Journal of Environmental ManagementInternational Journal of Human-Computer StudiesAI Magazine
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Nava Tintarev
42 papers receiving 469 citations
Peers
Comparison fields: 5 of 73
- Information Systems 204
- Artificial Intelligence 174
- Sociology and Political Science 154
- Computer Vision and Pattern Recognition 65
- Computer Science Applications 49
Countries citing papers authored by Nava Tintarev
This map shows the geographic impact of Nava Tintarev's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nava Tintarev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nava Tintarev more than expected).
Fields of papers citing papers by Nava Tintarev
This network shows the impact of papers produced by Nava Tintarev. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nava Tintarev. The network helps show where Nava Tintarev may publish in the future.
Co-authorship network of co-authors of Nava Tintarev
This figure shows the co-authorship network connecting the top 25 collaborators of Nava Tintarev. A scholar is included among the top collaborators of Nava Tintarev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nava Tintarev. Nava Tintarev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 12 | |
| 13 | Using Visualizations to Encourage Blind-Spot Exploration. | 3 |
| 14 | 40 | |
| 15 | 8 | |
| 16 | How Can Skin Check Reminders be Personalised to Patient Conscientiousness | 4 |
| 17 | Adaptive Visualization of Plans | 2 |
| 18 | 14 | |
| 19 | SAsSy—scrutable autonomous systems | 3 |
| 20 | Over- and underestimation in different product domains | 6 |
About Nava Tintarev
Nava Tintarev is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence, having authored 46 papers that have together received 483 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Topic Modeling (10 papers) and Misinformation and Its Impacts (8 papers). The work is most often cited by research in General Decision Sciences (21 citations), Information Systems (204 citations) and Computer Science Applications (49 citations). Nava Tintarev has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Tim Draws, Katrien Verbert, Yucheng Jin, Oana Inel, Judith Masthoff, Ujwal Gadiraju, Mesut Kaya, Derek Bridge, Emily Sullivan and Mariët Theune. Their work appears in journals such as Journal of Environmental Management, International Journal of Human-Computer Studies and AI Magazine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.